Promise is a pioneering film and TV studio at the forefront of the generative AI revolution. Our mission is to reimagine what's possible in entertainment by bringing together the world's most visionary storytellers and GenAI creators, empowered by cutting-edge tools and proprietary workflows. Through bold collaborations and a forward-thinking approach to sourcing IP, we are building a dynamic slate of original and licensed projects that push creative boundaries. Backed by premier VC firms, Promise is shaping a new era in GenAI-powered storytelling, where creativity knows no limits.
Promise is building MUSE, the next-generation platform where AI meets VFX to revolutionize how content is created. We're looking for a passionate and talented AI/ML Engineer to join our innovative team and help us push the boundaries of what's possible. We are seeking a results-oriented AI/ML Engineer to develop and deploy machine learning and artificial intelligence models that will directly advance the company’s product roadmap. This critical role involves hands-on development and close collaboration with the Product and Pipeline teams to deliver production-grade AI features and data-driven insights. The ideal candidate thrives on translating creative challenges into scalable technical solutions and is passionate about seeing their work immediately impact the future of film and television production.
Model Development & Deployment
Model Building: Build, evaluate, and deploy Machine Learning (ML) models and complete pipelines for new and existing product features within the MUSE platform.
Research Implementation: Research, select, and implement state-of-the-art ML algorithms and tools best suited to business and creative challenges.
Production Maintenance: Maintain, optimize, and monitor models in production, ensuring high availability, low latency, and required accuracy targets are consistently met.
Collaboration & Strategy
Product Alignment: Work side-by-side with the VP of Product to align development efforts with product requirements and strategic company goals.
Stakeholder Communication: Translate complex ML concepts for cross-functional stakeholders, actively contributing to product planning and requirements definition.
Documentation & Compliance: Document solutions, experiments, and results thoroughly, maintaining traceability and compliance for all models and the pipeline.
Technical Proficiency: Proficiency with Python and standard ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn ).
Production Experience: Practical experience deploying ML features and models into production environments.
Collaboration: Track record collaborating closely with product leads or directly within product teams to define and deliver features.
Communication: Strong communication and documentation skills, effective for both highly technical and non-technical creative audiences.
Experience with Generative AI models (e.g., Diffusion Models, Transformers) or computer vision tasks.
Familiarity with MLOps tools for model versioning and monitoring.
A background or strong interest in the film, VFX, or media technology industry.
Core Languages: Python (Expert).
ML Frameworks: PyTorch, TensorFlow, or equivalent.
ML Libraries: Scikit-learn, NumPy, pandas.
Deployment: Experience with API development and packaging models using technologies like Docker.
Cloud & MLOps: Familiarity with cloud services (AWS, GCP, or Azure) and tools for managing the ML lifecycle.
We offer a highly competitive compensation package commensurate with experience, including equity.
We believe in supporting our team’s well-being and growth. Our comprehensive benefits package includes:
Health & Wellness: Comprehensive medical, dental, and vision insurance coverage, with employee premiums covered 100%.
Time Off: Generous paid time off (PTO) policy, including company holidays and sick leave.
Financial Security: 401(k) matching program to help you plan for your future.
Professional Development: Annual stipend for continuing education, conferences, and technical training.
Work Environment: A dynamic, creative, and inclusive hybrid work environment based out of our innovative studio.
Promise is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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